Mianda Wu

597 citations
22 papers · 472 · h-index 13

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • Tuberculosis Research and Epidemiology 13
    • HIV/AIDS drug development and treatment 5
    • HIV Research and Treatment 14

Mianda Wu

21 papers receiving 466 citations

Peers

Mianda Wu
Comparison fields: 5 of 63
  • Virology 196
  • Infectious Diseases 323
  • Immunology 147
  • Epidemiology 232
  • Periodontics 26
Replace J Weber with:
J Weber United Kingdom
David W. Archibald United States
Emily Souder United States
Carmella vandeVen United States
E Vasak Australia
Troels Bygum Knudsen Denmark
Yuria Ablanedo‐Terrazas Mexico
S Iscaki France
Claudia Goulston United States
Erwan Piriou Netherlands
Mianda Wu relative to J Weber United Kingdom J Weber's profile →
Citations per field
00.5×10×15×20×24×
J Weber · 1×
Citations per year

Countries citing papers authored by Mianda Wu

Since Specialization
Citations

This map shows the geographic impact of Mianda Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mianda Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mianda Wu more than expected).

Fields of papers citing papers by Mianda Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mianda Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mianda Wu. The network helps show where Mianda Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mianda Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mianda Wu Line = papers co-authored together Mianda Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200185
2 200257
3 200155
4 200530
5 200929
6 199927
7 200125
8 201124
9 200522
10 200520
11 201119
12 201116
13 201112
14 200912
15 200411
16 20019
17 20097
18 20016
19 20143
20 20142

About Mianda Wu

Mianda Wu is a scholar working on Infectious Diseases, Virology, Epidemiology, Immunology and Molecular Biology, having authored 22 papers that have together received 472 indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), Tuberculosis Research and Epidemiology (13 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), HIV/AIDS drug development and treatment (5 papers), Immune Cell Function and Interaction (5 papers), Chemokine receptors and signaling (2 papers), Cell death mechanisms and regulation (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Virology (196 citations), Infectious Diseases (323 citations), Immunology (147 citations), Epidemiology (232 citations) and Periodontics (26 citations). Mianda Wu has collaborated with scholars based in United States, Uganda and Netherlands. Frequent co-authors include Zahra Toossi, Christina S. Hirsch, Htin Aung, John L. Johnson, Pierre Peters, Harriet Mayanja‐Kizza, Alphonse Okwera, Jerrold J. Ellner, Roy D. Mugerwa and Peter Mugyenyi. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, Scandinavian Journal of Immunology, Clinical & Experimental Immunology, AIDS Research and Human Retroviruses and The Journal of Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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